转载GPB期刊的血液专辑：https://academic.oup.com/gpb/pages/call-for-papers-special-issue-on-biomedical-big-data-in-blood

Call for Papers: Special Issue on “Biomedical Big Data in Blood

The journal Genomics, Proteomics & Bioinformatics (GPB) is now inviting submissions for a special issue (to be published in the Autumn of 2024) on the topic of “Biomedical Big Data in Blood”.

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It took 15 years, 3 billion USD, and thousands of top scientists from all over the world to complete the Human Genome Project (HGP). With the advances of genome-wide sequencing technologies and bioinformatics approaches, a large number of datasets of normal and malignant hematopoiesis have been generated and made public to researchers around the world. Collection and integration of these datasets greatly facilitate basic research and clinical diagnosis and treatment of blood disorders.

To achieve these goals, it is no longer sufficient to merely use traditional approaches focusing on a single molecule or single blood cell. Existing high-throughput technologies such as multiple-omics sequencing have been increasingly applied to this field, and novel technologies especially those for mapping blood cell atlas have been developed and refined. We are witnessing the revolution of blood science driven by big data technologies.

To highlight the recent cutting-edge studies and progress in this area, we are pleased to announce a special issue on “Biomedical Big Data in Blood” in GPB, which will publish a set of research articles and review papers focusing on the use of biomedical big data to study hematology and blood diseases. Dr. Qian-Fei Wang and Dr. Xiangdong Fang from Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation are Guest Editors of this issue.

The topics may include (but not be limited to):

• Development of novel technologies to promote blood research, especially at single-cell level

• Development of disease-specific imaging probes for early diagnosis of blood disorders

• Application of stem cell technologies to studies of blood function and dysfunction  at multi-omics level

• Application of technologies in genomics, proteomics, and metabolomics to blood science

• Development of algorithm, workflow, or webserver for big data analysis in blood science

• Integration of big data from multiple sources to understand blood function and dysfunction

• Discovery of biomarkers in peripheral blood for blood disorders as well as other complicated diseases

Reviews, original studies, databases, webservers, methods, application notes, protocols, etc. are all welcome. The portfolio will be open for incoming manuscripts till June 30, 2024.

Manuscripts should be submitted online at https://www.editorialmanager.com/gpb/. Please indicate that the submission is for this special issue and provide the actual article type in the cover letter, then choose “SI: Big Data in Blood” as the article type at manuscript submission. You can find the link to Instructions for Authors on this website. For more details about GPB, please visit https://academic.oup.com/gpb.

For further information, please contact us:

• Dr. Wang (wangqf@big.ac.cn);

• Dr. Fang (fangxd@big.ac.cn);

• Editorial Office (editor@big.ac.cn).

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